Δημοσιεύσεις σε Περιοδικά

[J.9] S.-I. Poulis, G. Papatheodorou, C. Papaioannou, Y. Sfikas, M. E. Plissiti, A. Efthymiou, J. Liaperdos, Y. Tsiatouhas, “Effective Current Pre-Amplifiers for Visible Light Communication (VLC) Receivers”, Technologies, vol. 10, 36, 2022, https://doi.org/10.3390/technologies10010036.
[J.8] M. Vrigkas, E.-A. Kourfalidou, M. E. Plissiti, C. Nikou, “FaceMask: A new image dataset for the automated identification of people wearing mask using deep learning”,Sensors 2022, 22(3), 896. https://doi.org/10.3390/s22030896.
[J.7] D. Riana, M. E. Plissiti, C. Nikou, D. H. Widyantoro and T. L. R. Mengko, “Inflammatory cell extraction and nuclei detection in Pap smear images”, International Journal of e-Health and Medical Communications, 6(2), 27-43, 2015.
[J.6] M. E. Plissiti and C. Nikou, “Overlapping cell nuclei segmentation using a spatially adaptive active physical model”, IEEE Transactions on Image Processing, 21(11), 4568-4580, 2012.
[J.5] M. E. Plissiti, C. Nikou and A. Charchanti, “Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images”, Pattern Recognition Letters, 32, 838-853, 2011.
[J.4] M. E. Plissiti, C. Nikou and A. Charchanti, “Automated detection of cell nuclei in Pap smear images using morphological reconstruction and clustering”, IEEE Transactions on Information Technology in Biomedicine, 15(2), 233-241, 2011. Download Image Dataset
[J.3] C. V. Bourantas, M. E. Plissiti, D. I. Fotiadis, V. Protopappas, G. V. Mpozios, C. K. Katsouras, I. C. Kourtis and L. K. Michalis, “In vivo validation of a novel semi-automated method for border detection in intravascular ultrasound images”, British Journal of Radiology, 78, 122-129, 2005.
[J.2] C. V. Bourantas, I. C. Kourtis, M. E. Plissiti, D. I. Fotiadis, C. K. Katsouras and L. K. Michalis, “A method for 3D reconstruction of coronary arteries using biplane angiography and intravascular ultrasound images”, Computerized Medical Imaging and Graphics, 29(8), 597-606, 2005.
[J.1] M. E. Plissiti, D. I. Fotiadis, L. K. Michalis and G. Mpozios, “An automated method for lumen and media/adventitia border detection in a sequence of IVUS Frames”, IEEE Transactions on Information Technology in Biomedicine, 8(2), 131-141, 2004.

Δημοσιεύσεις σε Συνέδρια

[C.20] P. Rempakos, M. Vrigkas, M. E. Plissiti, C. Nikou, “Spatial Transformer Generative Adversarial Network for Image Super-Resolution”, 22nd International Conference on Image Analysis and Processing (ICIAP 2023), 11-15 September 2023, Udine, Italy.
[C.19] M. Vrigkas, V. Tagka, M. E. Plissiti and C. Nikou, “Composition of motion from video animation through learning local transformations”, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), 4-10 June 2023, Rhodes, Greece.
[C.18] C. Papaioannou, M. E. Plissiti, Y. Sfikas, G. Papatheodorou, S.-I. Poulis, A. Efthymiou and Y. Tsiatouhas, “Signal decoding in an NLOS VLC system with the presence of anti-reflective obstacles”, IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Sofia, Bulgaria, 6–9 June 2022.
[C.17] M. E. Plissiti, C. Papaioannou, Y. Sfikas, G. Papatheodorou, S.-I. Poulis, A. Efthymiou and Y. Tsiatouhas, “An efficient adaptive thresholding scheme for signal decoding in NLOS VLC systems”, IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Athens, Greece, 7–10 September 2021.
[C.16] M. E. Plissiti, P. Dimitrakopoulos, G. Sfikas, C. Nikou, O. Krikoni, A. Charchanti, “SIPAKMED: A new dataset for feature and image based classification of normal and pathological cervical cells in Pap smear images”, 25th IEEE International Conference on Image Processing (ICIP’2018), Athens, Greece, 7-10 October 2018. Download SIPaKMeD
[C.15] M. E. Plissiti, M. Vrigkas and C. Nikou, “Segmentation of cell clusters in Pap smear images using intensity variation between superpixels”, 22nd International Conference on Systems, Signals and Image Processing (IWSSIP 15), London, United Kingdom, 10-12 September 2015.
[C.14] M. E. Plissiti, E. Louka and C. Nikou, “Splitting of overlapping nuclei guided by robust combinations of concavity points SPIE Medical Imaging 2014, San Diego, CA, USA, 15-20 February 2014.
[C.13] M. E. Plissiti and C. Nikou, “On the importance of nucleus features in the classification of cervical cells in Pap smear images”, in Proceedings of the International Workshop on Pattern Recognition for Healthcare Analytics (IWPRHA) 2012, Tsukuba Science City, Japan, 11 November 2012.
[C.12] M. E. Plissiti and C. Nikou, “Cervical cell classification based exclusively on nucleus features”, in Proceedings of the International Conference on Image Analysis and Recognition (ICIAR 2012), Aveiro, Portugal, 25-27 June 2012.
[C.11] M. E. Plissiti and C. Nikou, “Cell nuclei segmentation by learning a physically based deformable model”, in Proceedings of the 17th International Conference on Digital Signal Processing (DSP 2011), Corfu, Greece, 6-8 July 2011.
[C.10] M. E. Plissiti, C. Nikou and A. Charchanti, “Watershed-Based segmentation of cell nuclei boundaries in Pap smear images”, in Proceedings of the IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2010), Corfu, Greece, 3-5 November 2010.
[C.9] M. E. Plissiti, C. Nikou and A. Charchanti, “Accurate localization of cell nuclei in Pap smear images using Gradient Vector Flow deformable models”, in Proceedings of the 3rd International Conference on Bio-inspired Signals and Systems (BIOSIGNALS 2010), 284-289, Valencia, Spain, 20-23 January 2010.
[C.8] M. E. Plissiti, E. E. Tripoliti, A. Charchanti, O. Krikoni and D. I. Fotiadis, “Automated detection of cell nuclei in Pap stained smear images using fuzzy clustering”, in Proceedings of the 4th European Congress for Medical and Biomedical Engineering (EMBEC 2008), 637-641, Antwerp, Belgium, 23-27 November 2008.
[C.7] M. E. Plissiti, A. Charchanti, O. Krikoni and D. I. Fotiadis, “Automated segmentation of cell nuclei in Pap smear images”, in Proceedings of the IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB 2006), Ioannina, Greece, 26-28 October 2006.
[C.6] C. Bourantas, D. I. Fotiadis, I. C. Kourtis, L. K. Michalis and M. E. Plissiti, “Three-dimensional coronary artery reconstruction using fusion of intravascular ultrasound and biplane angiography”, in Proceedings of the International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS 2003), London, 25-28 June 2003, International Congress Series, vol. 1256, 1133-1138, 2003.
[C.5] C. Bourantas, D. I. Fotiadis, I. C. Kourtis, L. C. Kourtis, L. K. Michalis and M. E. Plissiti, “Quantitative validation of a 3D reconstruction automated method for coronary arteries”, in Proceedings of the 2nd European Medical and Biological Engineering Conference (EMBEC 2002), Vienna, Austria, 4-8 December 2002.
[C.4] C. Bourantas, M. E. Plissiti, D. I. Fotiadis and L. K. Michalis, “3D reconstruction of coronary arteries using intravascular ultrasound and biplane X-ray projections and its quantitative validation”, in Proceedings of the XXIV Congress of the European Society of Cardiology (ESC 2002), Berlin, Germany, 31 August- 4 September 2002.
[C.3] M. E. Plissiti, D. I. Fotiadis and L. K. Michalis, “3D Reconstruction of arterial segments using IVUS and Angiographical Images”, in Proceedings of the 6th Conference of Foundation for Research and Technology (FORTH 2002), Ioannina - Metsovo, Greece, 1-3 March 2002.
[C.2] M. E. Plissiti, D. I. Fotiadis and L. K. Michalis, “3D Reconstruction of stenotic coronary arterial segments using intravascular ultrasound and angiographic images”, in Proceedings of the XVIIIth Congress of the International Society of Biomechanics (ISB 2001), ETH Zurich, Switzerland, 8 - 13 July 2001.
[C.1] C. Malizos, M. Hantes, A. Mavrodontides, M. Plissiti, D. I. Fotiadis, C. V. Massalas, A. Moukarika, T. Bakas and G. Evangelakis, “Quantitative monitoring and prognosis of osteogenesis”, in Proceedings of the European Medical and Biological Engineering Conference (EMBEC 1999), 37, 288-389, Vienna, Austria, 4-7 November 1999.

Κεφάλαια σε Βιβλία

[Β.2] M. E. Plissiti and C. Nikou, “A review of automated techniques for cervical cell image analysis and classification”, in Biomedical Imaging and Computational Models in Biomechanics. Editors: D. Iacoviello and U. Andreaus. Lecture Notes in Computational Vision and Biomechanics, Vol.4, pp. 1-18, Springer 2013. ISBN 9789400742697.
[Β.1] A. Papadopoulos, M. E. Plissiti and D. I. Fotiadis, “Medical image processing and analysis for CAD systems”, in Medical Image Analysis Methods, Editors: L. Costaridou, Electrical Engineering & Applied Signal Processing Series, pp. CRC Press/Taylor and Francis Group, 2005. ISBN 9780849320897.